Mathematical computing software applications like MATLAB, Mathematica, and LabView benefit greatly by using CUDA-enabled GPUs. These very-high level scripting and language software applications can use the CUDA FFT and BLAS libraries besides writing CUDA functions for key kernels.

Accelerating Black-Scholes in MATLAB using Jacket plugin Accelereyes	Accelerating Image Processing in MATLAB using CUDA Luo, Duraiswami

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• Jacket engine for MATLAB
• MATLAB plugin using MEX files
• Technical note explain how to use the plugin
• GPULib: mathematical functions for IDL and MATLAB
• Integrating Simulink with CUDA using S-functions
• Enabling GPU Computing in the R Statistical Environment
• Mathematica plug-in for CUDA
• Using NVIDIA GPUs with National Instruments LabView

• Canny Edge Detection using CUDA
• CUDA MATLAB Tutorial
• 2D CUDA-based BiLinear Extrapolation
• Fast 2D CUDA-based convolution
• Affine Transformation in Optical Quadrature Microscopy

• Tesla/CUDA Success stories
• Other Tesla Vertical Solutions
• CUDA Software development tools & libraries